Triple

T9068175
Position Surface form Disambiguated ID Type / Status
Subject Rachida Dati E217296 entity
Predicate familyName P18 FINISHED
Object Dati
Dati is a surname most notably associated with Rachida Dati, a prominent French politician and former Minister of Justice.
E776041 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dati | Statement: [Rachida Dati, familyName, Dati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dati
Context triple: [Rachida Dati, familyName, Dati]
  • A. Datu
    Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
  • B. Daatu
    Daatu is a Kannada novel by S. L. Bhyrappa that explores complex social and caste dynamics in Indian society.
  • C. Data
    Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
  • D. DAT
    DAT is the ICAO airline designator assigned to Lynx Air, a Canadian low-cost carrier.
  • E. Digitata
    Digitata is an American electronic and indie rock band known for its moody, synth-driven sound and ties to the Minneapolis music scene.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dati
Triple: [Rachida Dati, familyName, Dati]
Generated description
Dati is a surname most notably associated with Rachida Dati, a prominent French politician and former Minister of Justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dati
Target entity description: Dati is a surname most notably associated with Rachida Dati, a prominent French politician and former Minister of Justice.
  • A. Datu
    Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
  • B. Daatu
    Daatu is a Kannada novel by S. L. Bhyrappa that explores complex social and caste dynamics in Indian society.
  • C. Data
    Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
  • D. DAT
    DAT is the ICAO airline designator assigned to Lynx Air, a Canadian low-cost carrier.
  • E. Digitata
    Digitata is an American electronic and indie rock band known for its moody, synth-driven sound and ties to the Minneapolis music scene.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bf4f2881908c881e6ee7203994 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffddc5c288190b18c2ae1aece4ed6 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d000d2c5688190b014ce33c04ff875 completed April 3, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69d001a1056c819083793547dbd4b1ee completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:11 p.m.